Publications

Explainable Load Forecasting with Covariate-Informed Time Series Foundation Models
Hertel, M.; Nikoltchovska, A.; Pütz, S.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.
2026. Proceedings of the 17th ACM International Conference on Future and Sustainable Energy Systems, 612–626, Association for Computing Machinery (ACM). doi:10.1145/3744255.3811724

Analyzing Day-ahead System Load Forecasts with SHAP. bachelor’s thesis
Richau, L.
2026, March 29. Karlsruher Institut für Technologie (KIT)

Correlations Matter in Explanations for Energy Systems
Nikoltchovska, A.; Pütz, S.; Götz, M.; Schäfer, B.
2026. KI - Künstliche Intelligenz, 40 (1), 41–54. doi:10.1007/s13218-026-00904-4

Probabilistic and Explainable Machine Learning for Tabular Power Grid Data
Nikoltchovska, A.; Pütz, S.; Li, X.; Hagenmeyer, V.; Schäfer, B.
2025. Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, Rotterdam, 17th-20th June 2025, 213–231, Association for Computing Machinery (ACM). doi:10.1145/3679240.3734623